Lead II, Machine Learning Engineer

Location: New York

Job Summary
:
S&P Global is a leading provider of credit ratings and analytics, and they are seeking a Lead II, Machine Learning Engineer to join their machine learning team. The role involves designing and developing scalable machine learning models, collaborating with cross-functional teams, and implementing cutting-edge techniques to drive enterprise-wide automation.

Responsibilities
:

• Play a part in the design and development of scalable machine learning models and algorithms to process large datasets and extract actionable insights

• Engineer end-to-end ML pipelines from data ingestion through model deployment and monitoring in production environments

• Collaborate with cross-functional teams including Data Engineers, Data Scientists, Platform Engineers, and Solution Architects to deliver enterprise-scale AI solutions

• Research and implement cutting-edge machine learning techniques and frameworks to solve complex business problems

• Automate solutions that can be deployed across the enterprise, identifying opportunities for process improvement and efficiency gains

• Work in a collaborative environment to execute an innovative capabilities in an enterprise setting

Qualifications
:
Required
:

• Master's degree in Computer Science, Machine Learning, Data Science, or related technical field, or equivalent professional experience

• 5+ years of hands-on experience in machine learning engineering, model development, and deployment with demonstrated leadership experience

• Proficiency in machine learning frameworks and libraries such as Tensor Flow, PyTorch, Scikit-learn, or similar technologies

• Strong programming skills in languages such as Python, R, or Scala with experience in software development best practices

• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for ML model deployment and scaling

• Proven leadership and mentoring abilities with strong analytical and problem-solving skills

Preferred
:

• Experience with MLOps tools and practices such as MLflow, Kubeflow, or similar platforms for model lifecycle management

• Knowledge of big data technologies such as Spark, Hadoop, or distributed computing frameworks

• Experience with containerization and orchestration technologies such as Docker, Kubernetes, or similar platforms

• Previous experience leading cross-functional teams and driving technical strategy in collaborative environments

Company
:
S&P Global is a market intelligence company that provides financial information and data analytics services. Founded in 1860, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.